Tencent/ncnn

master

ncnn

Grade	Name	Complexity	Churn	Issues
B	src\mat_pixel.cpp	269	1	13
F	src\layer\arm\convolution_im2col_gemm_fp16s.h	269	2	23
B	src\layer\x86\convolution_packed_bf16s.h	265	2	15
B	src\layer\x86\convolution_packed.h	263	2	16
A	src\stb_image_write.h	260	1	5
C	src\layer\x86\packing_x86.cpp	259	2	29
B	src\layer\x86\convolution1d_packed_bf16s.h	258	2	11
B	src\layer\x86\binaryop_x86.cpp	257	3	11
B	src\layer\x86\convolution1d_packed.h	256	2	12
B	tools\quantize\ncnn2table.cpp	252	1	15
F	src\layer\arm\convolution_im2col_gemm_bf16s.h	249	2	75
A	src\layer\riscv\convolution_riscv.cpp	248	1	6
A	src\layer\arm\crop_arm.cpp	248	1	4
B	src\layer\arm\slice_arm.cpp	247	1	12
A	src\layer\crop.cpp	242	1	7
B	src\layer\x86\concat_x86.cpp	234	2	11
A	tools\pnnx\src\pass_onnx\fold_constants.cpp	233	1	6
A	tools\caffe\caffe2ncnn.cpp	232	2	2
F	src\mat_pixel_rotate.cpp	229	1	24
C	src\layer\x86\convolution_im2col_gemm_int8.h	229	2	11